Abdul Hamid Adom, Prof. Dr.: Recent submissions
Now showing items 81-98 of 98
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Neuro-Fuzzy based motor imagery classification for a four class brain machine interface
(Universiti Malaysia Perlis, 2009-10-11)Brain Machine Interface (BMI) provides a digital link between the brain and a device such as a computer, robot or wheelchair. This paper presents a BMI design using Neuro-Fuzzy classifiers for controlling a wheelchair using ... -
Development of intelligent portable electronic nose
(Universiti Malaysia Perlis, 2009-10-11)An electronic nose is a device that is able to perform electronic olfactory as a substitute to human experts. It is able to overcome the disadvantages of using human, such as fatigue and inconsistencies, as well as to ... -
Active stereo vision based system for estimation of Mobile Robot Orientation using composition matrix
(Universiti Malaysia Perlis, 2009-10-11)The computation of a mobile robot position and orientation is a common task in the area of computing vision and image processing. For a successful application, it is important that the position and orientation of a mobile ... -
Brain machine interface based wheelchair control with minimal subject training
(Universiti Malaysia Perlis, 2009-10-11)Wheelchair control using a Brain Machine Interface based on motor imagery requires adequate subject training. In this paper we propose a new algorithm for a brain machine interface design which is implemented in real-time ... -
The effect of high loading rate to tensile strength for mild steel by using Hopkinson Bar technique
(Universiti Malaysia Perlis, 2009-10-11)This paper presents the effect of high strain rate loading to tensile strength for mild steel by using Hopkinson bar technique. The behavior of material at high strain rates is important for application such as structural ... -
The effect of ASI (Acceleration Severity Index) to different crash velocities
(Universiti Malaysia Perlis, 2009-10-11)Vehicle crash can causes severe injuries to the occupant of the vehicle. These injuries can be measured. The injury measurement is intended to insure minimum safety levels in severe crashes. There are several types of ... -
Development of Numerical Child Dummy model and the analysis of head impact criterion
(Universiti Malaysia Perlis, 2009-10-11)This paper presents a development of numerical child dummy model and head impact criterion analysis of the numerical child dummy model. The model was developed using flexible component for crucial parts such as neck and ... -
A feasibility study of using an Electronic Nose as a fruit ripeness measuring instrument
(Kolej Universiti Kejuruteraan Utara Malaysia, 2005-05-14)This paper presents the study of using an artificial olfactory system as a nondestructive instrument to measure fruit ripeness. The cultivar chosen for this study is Harumanis mango. This system comprises of an array of ... -
A design of Omni-Directional for Mobile Robot
(Kolej Universiti Kejuruteraan Utara Malaysia, 2006-06-15)This paper presents the processes undertaken in the design and development of an intelligent omni-directional mobile robot using four custom-made mecanum wheels. The mecanum wheel developed consists of nine rollers made ... -
Supervisory fuzzy learning control for underwater target tracking
(World Academy of Science, Engineering and Technology, 2005-06)This paper presents recent work on the improvement of the robotics vision based control strategy for underwater pipeline tracking system. The study focuses on developing image processing algorithms and a fuzzy inference ... -
Fuzzy based classification of EEG mental tasks for a brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2007-11-28)Patients with neurodegenerative diseases loose all motor movements including impairment of speech, leaving the patients totally locked-in. One possible option for rehabilitation of such patients is using a brain machine ... -
EEG classification using radial basis PSO neural network for brain machine interfaces
(Institute of Electrical and Electronics Engineering (IEEE), 2007-12)Brain Machine Interfaces use the cognitive abilities of patients with neuromuscular disorders to restore communication and motor functions. At present, only EEG and related methods, which have relatively short time constants, ... -
Intelligent electronic nose system for basal stem rot disease detection
(Elsevier, 2009-05)The agricultural industry has been, for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different types of produce. Odour as a parameter of ... -
Intelligent vehicle fault diagnosis system using Neural Networks
(Universiti Teknologi MaraFaculty of Electrical Engineering, 2007-03-09)Diagnosis has become a very complex and critical task in determining the condition of vehicle engine. Sound emitted by the engine is always considered to be an annoying noise but a detaiedl analysis of the sound signal ... -
The Feasibility Study of Utilising Electronic Nose and ANN for Plant Malaise Detection
(Universiti Malaysia Perlis (UniMAP), 2008-03-15)The agricultural industry has been,for a long time, dependent upon human expertise in using odour for classification, grading, differentiating and discriminating different typesof produce. Odour was also used to determine ... -
An Intelligent Vision Based Domestic Waste Sorting System
(School of Mechatronic Engineering, 2008-01-09)The Intelligent Vision Based Domestic Waste Sorting System is an automatic waste sorting system which use vision and infra red sensors to indentify paper and plastic. The system consists of a conveyor system to feed the ... -
Development of Autonomous and Semi Autonomous Mobile Robot Platform for Multiple Sensing Applications
(School of Mechatronic Engineering, 2008-01-09)For access control, surveillance and gas or early fire detection. -
Development of Low Cost Mobile Robot for Engineering and Technology Education
(School of Mechatronic Engineering, 2008-01-09)Use for education purposes. Expose student to robot design, robot building, hardware/software inter facing and robot innovation.